10272010 rfid network as early warning system (gs radjou)

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  • It is my own design for water hazard Early Warning System based on 2 experiences: Experience 1: a technology system based on sensors, therefore the title of the project. In fact, in a situation like the one, which is described in water hazards i.e. one needs to be very close to events in a real space and time (slide coordination centres for data netwok). My feeling a good system to alert people from a likely danger from flood should be able to give them a feel to what would happen if they are caught by flood risk (slide on flood EWS communication basic principles) , thus they should take all steps to self-alleviate -or with rescue team helps-from the risks caused by floodr. Experience 2: a second characteristic of the project is going beyond flood prediction arrival times by putting these sensor network into effective and efficient use in real time by using Radio Frequency Identification Detections (RFID)
  • I t is about basic concepts behind the project. One would called it the science of the project. In summary, there are 3 concepts: Concept 1 : the flood concept given by the Word Meteorological Organization int the WMO flood program, which has been used and lectures during the World Water Week in Stockholm By the WMO Flood Division Director ie Mr Avinash Tyagi « used the sediments and pollution concepts » -As I feel that flood is a wide concept and for the purpose of the project design, my own defintion would retain only these elements that help to survive a flood risk. Thus, making a project for flood estuarine people or flood prone regions. Concept 2 : precisely, as the World bank meeting demonstrated with the stakeholders particpiation, precautionary measure should be applied within the 100 km overland or underground of a source of flood. Sediments and pollution travels on a long distance from the place where the flood sources. Stakeholders decided that 100km zone is a limit to precautionary measure for water safety purpose. Concept 3 : it is about effectiveness and efficiency of Early Warning Systems. We have learned lessons from failures of Dec 26, 2004 tsunamy in South East Asia Early Warning System. EWS should be able to convey the message, but also this message should have a meaning and an understanding. These are the EWS properties.
  • Typical geogaphycal scenarii flood disaster are the flood plains and often a river estuarine- but in my project WAER access to water ,.... there is no limits to sources for flood risks. « A surrealist poet has described the Earth surface like being a blue Orange. Eluard Poetry was real because not only the surface of the orange is blue, but inside the earth today can be compared with the flesh of an Orange ie full of the juicy liquid, which is underground waters. United Nations i.e. UN-water, UNESCO,.. found there are nearly at least 300 tranboundary known aquifers (and 270 rivers, lakes....), in the world., it means there are 99,99 times more water inside the soil undergrounds than in rivers, lakes,....and other water surface features. So, because of surface waters and aquifers are not comparmented easily, there will be much more flood risks (99.9 times more!?) in the future at the light of global warming in towns and the countryside. Integrated Flood Management (IFM ) is a subset of Integrated Water Resource Management (IWRM), which is about managing flood risks in a global package of solutions for a river basin -and not like in the old times with piecemeal projects- My practical concept for flood for the project design is about observing the impact sources of flood, issues and impacts on people livelyhood and properties. I mean like evrybody, all disasters have the same impacts like food/water, transportsbut I had focused primarily of the rule of thum
  • 10272010 rfid network as early warning system (gs radjou)

    1. 1. PROJECT TITLE: RFID SENSORS M anagement I nformation S ystem i.e. E ARLY W ARNING S YSTEM ( E.W.S. ) TO PROTECT A COMMUNITY VILLAGE FROM WATER HAZARD (SCOPE) [email_address]
    2. 2. PART I: USED CONCEPTS: +Integrated Flood Management + 100 km Risk/Hazard zones + Early Warning System
    3. 3. <ul>The Integrated Flood Management (IFM) </ul>GS RADJOU Flood plain/river estuarine <ul>Sea rises </ul><ul>Spurs </ul><ul>+ </ul><ul>+ </ul><ul>+ </ul><ul>+ </ul><ul>+ </ul><ul>Water penetrations into the land </ul><ul>Mountains </ul><ul>Village (Houses) </ul><ul>IFM </ul><ul>IWRM </ul><ul>IFM </ul><ul>Flood </ul>
    4. 4. Detection Issues The 100 km safety zone (Ref. SIWI 2009, World Bank meeting ) Water feature sources GS RADJOU <ul>Natural water features (Naturally contaminated) </ul><ul>100km </ul><ul>Look-out point Best places were a watch <li>Person can
    5. 5. contemplate a flood
    6. 6. Directly –no technology-
    7. 7. or with the flood
    8. 8. sensors. </li></ul><ul>Boundary land <li>&water feature </li></ul><ul>[ More flood Indicators (sensors) in the 100 km where the likelyhood of flood is important (Balancing act between benefits, costs for risks)] </ul><ul>100 km boundary </ul><ul>A water feature (river, lake,...,sea) </ul><ul>The pollution risk area on land </ul><ul>Sensors on the ground help to map these advances of the flood fronts and assess locations and speeds (See slide on flood detector map for the redeploiement strategy of flood stations) </ul><ul>Source: World Water Week 2009 </ul><ul>Uncertainty distance for hazards due to water flows either at subsurfaces or underground infiltrations </ul><ul>Sensors </ul><ul>Hazard Early Warning System </ul>
    9. 9. Early Warning Sytem (EWS) -The basic communication principle- Detection/emission (Signal sender) message medium/transmission support Detection/reception (Signal receiver) Water hazards Feed-back GS RADJOU (SENSOR COMMUNICATION SUPPORT SYSTEM PRINCIPLES Message from the sender should be clear warning ie the EWS able to convey meanings and understandings to the receiver/recipients -people at risk of flood-of the message in order to have a successful EWS ie effective and efficient EWS) Flood data Data codage Data transmision Data decodage Data interpretation
    10. 10. Part II
    11. 11. SENSORS Project component « sensors » Sensor network
    12. 12. <ul>PROJECT « SENSORS » (P.B.S.) </ul>GS RADJOU Early Warning System Rapid Response Unit Air phase Land phase <ul>Drone s </ul><ul>2 oz Pocket Water Purifier </ul><ul>Flood detectors </ul><ul>Assembly bases </ul><ul>M.I.S. </ul><ul>P.B.S. (Main components) </ul><ul>Look-out points </ul><ul>Retails and On-line shopping </ul><ul>Electro Mechanica l </ul><ul>Nuclear </ul><ul>Gauging </ul><ul>Speed </ul><ul>Self </ul><ul>False </ul><ul>Dry feet </ul>
    13. 13. PROJECT « SENSORS » Global Architecture
    14. 14. <ul>Integrated Flood Resource Management: WAER Project version </ul>Land vehicle relief Drone base for relief boat Vehicle GS RADJOU <ul>Delta </ul><ul>Sea </ul><ul>Flood station </ul><ul>Drone Assembly base </ul><ul>Flood detectors </ul><ul>Warehouse (With water purifiers) </ul><ul>Direct transmission </ul><ul>RFID transmission </ul><ul>Water basin <li>(River estuarine) </li></ul><ul>To data centre (Network) </ul><ul>Drone At sea </ul><ul>Sea relief </ul><ul>drone (stand-by) </ul><ul>Drone before launching </ul><ul>Mount </ul><ul>Role of the capacity builders </ul><ul>Coordination </ul><ul>IWRM </ul><ul>Data centre </ul>
    15. 15. PROJECT ARCHITECTURE ( W ork B reakdown S tructure) -THE 4 POLES (4 Ps)
    16. 16. <ul>Grouping chart simplification: 4 Ps </ul>GS RADJOU <ul>Mandate </ul><ul>Tests </ul><ul>Weather </ul><ul>Capacity building </ul><ul>Hydrology detection </ul><ul>Weather detection </ul><ul>Prepa- radness </ul><ul>Detection technology </ul><ul>Hurricane </ul><ul>Surge rain Flash flood </ul><ul>No detection </ul><ul>Needs </ul><ul>Bases </ul><ul>Flood Detector </ul><ul>Look-out points </ul><ul>RFID </ul><ul>Prepa radness </ul><ul>Activation </ul><ul>Production </ul><ul>Drops </ul><ul>Pole B: Preparedness Long-term </ul><ul>Pole D : Emergency </ul><ul>Pole A: Administration </ul><ul>Pole C: Preparedness Medium-term </ul><ul>Pole E: Forecast developmen t </ul>
    17. 17. <ul><li>(PRODUCTION FLOWCHART) </li></ul>GS RADJOU <ul>Non evident Flood </ul><ul>Drone Base search </ul><ul>Operational drone </ul><ul>WAER Stand-by </ul><ul>WAER Activate </ul><ul>W. Forcast deliverables </ul><ul>Evident flood </ul><ul>Flood Forecasts >0 </ul><ul>Flood evidence </ul><ul>Base found </ul><ul>Surge Rain </ul><ul>Flood forecast </ul><ul>Flooding </ul><ul>Checks </ul><ul>Drone order </ul><ul>Sirenes RFID alarms </ul><ul>No forecast </ul><ul>No technology </ul><ul>Dark ponds </ul><ul>Software simulation </ul><ul>Radar detection </ul><ul>WAER detection </ul><ul>Bad Weather </ul><ul>Visual forecast </ul><ul>Purifier order </ul><ul>Drone Preparation order </ul><ul>Drone in progress </ul><ul>Launcher In progress </ul><ul>Drone voucher </ul><ul>Purifier voucher </ul><ul>Proceed voucher </ul><ul>Proceed voucher </ul><ul>Launcher ready </ul><ul>Drone ready </ul><ul>Assembly authorization </ul><ul>Operational Drone ready </ul><ul>Fired drone </ul><ul>Flood Zone identification </ul><ul>Identified Drop zone </ul><ul>dropped Purifiers </ul><ul>Drinking water </ul><ul>Activation order </ul><ul>Surge water </ul><ul>Hurricane </ul><ul>Flood Map </ul><ul>Flood Zone identified </ul><ul>Rain report </ul><ul>Hurricane report </ul><ul>Preparadness (pre-alert) </ul><ul>Flood Forecasts <0 </ul><ul>variation </ul><ul>WMO forecast </ul><ul>Personal warning </ul><ul>Visual forecast </ul><ul>H2-H1>h </ul><ul>Hydrograph </ul><ul>Hurricane alert </ul><ul>No coverage </ul><ul>Forecast Need </ul><ul>Preparadness alert </ul><ul>Mandate </ul><ul>Capacity building </ul><ul>No water trucking </ul><ul>Radio decodage </ul><ul>For. need analysis </ul><ul>Forecast resolution </ul><ul>Forecast Meeting </ul><ul>rescue team </ul><ul>Options </ul><ul>Water </ul><ul>Land </ul><ul>Base ready </ul><ul>Preparadnes starts </ul><ul>Test </ul><ul>Flood zone access </ul><ul>Authorization </ul><ul>WAER <li>forecast </li></ul>
    18. 18. MULTINATIONAL CORPORATION (MNC) ORGANIZATION: PORTOFOLIO PROJECT
    19. 19. <ul>Business organization </ul>GS RADJOU <ul>Air </ul><ul>IFM zones </ul><ul>water </ul><ul>Drone </ul><ul>Assembly base </ul><ul>Flood detector </ul><ul>Parcel delivery </ul><ul>On-line shoping </ul><ul>Trade </ul><ul>Domestic </ul><ul>Spate </ul><ul>Tree planting </ul><ul>Pipes (Soft, hard) </ul><ul>reservoir </ul><ul>Scaffolds </ul><ul>Water pumps </ul><ul>Stone </ul><ul>Aqueduc </ul><ul>Forecast no detector </ul><ul>Walls </ul><ul>GPS </ul><ul>Camera Phone </ul><ul>RFID </ul><ul>Internet </ul><ul>Telecom. Depart. </ul><ul>Geography </ul><ul>Retailing </ul><ul>(WAER MULTINATIONAL: MULTI PRODUCT/SERVICE BUSINESS BLOBAL CORPORATE, BUT NOT A CONGLOMERATE --ONLY ONE BUSINESS WATER SUPLLY DURING A FLOOD-- ) </ul><ul>Executive Board </ul><ul>Finance </ul><ul>Non executive board </ul><ul>Inter national </ul><ul>Project Technology </ul><ul>Orthodox </ul><ul>Non Orthodox </ul><ul>Disaster & hazards </ul><ul>Insurance </ul><ul>Assessment </ul><ul>CSR Hub Technical </ul><ul>Barges </ul><ul>Canals </ul><ul>Project components </ul><ul><li>Dry-feets </li></ul><ul>Look-out <li>points </li></ul>
    20. 20. Resource Black Box Model (SYSTEMIC VIEW POINT)
    21. 21. <ul>INPUT-PROCESS-OUPUT FOR RESOURCE ALLOCATIONS </ul>PROJECT GOAL inputs process ouputs issue <ul>Planning Resources </ul><ul>Space </ul><ul>Time </ul><ul>Calendar </ul><ul>Assumptions on flood types </ul><ul>Classes of activities or standard Work ? </ul><ul>Coverage of the dark zones (uneasy to forecast) </ul><ul>Flood increase </ul><ul>Product Base Planning </ul><ul>Finish with tasks <li>And allocate
    22. 22. resources:
    23. 23. Manpower per hours </li></ul><ul>Materials </ul><ul>GS RADJOU </ul>
    24. 24. Indicators TELL WHERE YOU ARE HEADING Not over Not under The right balance
    25. 25. <ul>Indicators (output management) </ul>Indicators for « project sensors » GS RADJOU <ul>Flood data </ul><ul>Sustain ability </ul><ul>Daily Business </ul><ul>Quality </ul><ul>Output </ul><ul>Alter natives </ul><ul>6 sigma </ul><ul>Dow Jones index </ul><ul>Sales </ul><ul>Inventory </ul><ul>Raw material </ul><ul>Manpower </ul><ul>Quality </ul><ul>Flow speed </ul><ul>Elevation </ul><ul>Hazards </ul><ul>Cause s </ul><ul>Problems </ul><ul>Impact s </ul><ul>River size </ul><ul>Infiltations </ul><ul>Softwares </ul><ul>10-20 </ul><ul>Too much </ul><ul>Too little </ul><ul>average </ul><ul>Stock </ul>
    26. 26. Project organisation (To match the supply and demand) The match between supply and demand for relief goods during recovery operations is defined by the forecast and the adjustment made by the project organization to reduce risks based on responsiveness linked to the sensor n etwork This model remove the confusion with the Economy of a crisis and the management of crisis
    27. 27. <ul>EARLY WARNING SYSTEM (EWS) BASED ON INFORMATION SYSTEM (Global architecture ) </ul>GS RADJOU <ul>Mobile Phone Camera </ul><ul>Flood detector </ul><ul>Flood base </ul><ul>RFID </ul><ul>Socio-media event </ul><ul>Water quality </ul><ul>Water speed </ul><ul>Water elevation </ul><ul>Treament </ul><ul>Internet </ul><ul>Computer </ul><ul>Broadband </ul><ul>GPS </ul><ul>Visual </ul><ul>data </ul><ul>Flood context captures </ul><ul>F L O O D </ul><ul>Water station </ul><ul>Drone base </ul><ul>Households </ul><ul>Flood process </ul>COORDINATION CENTRES FOR DATA NETWORK <ul>RFID hydrology forecast Network service </ul><ul>Network powered with nanotechnologies, mobile phone cameras, internet, wi-fi and GPS for flood event captures/media </ul>
    28. 28. Part III
    29. 29. <ul>Flood Indicator / global architecture (Interface specification ) </ul>GS RADJOU <ul>Flood Indicator </ul><ul>House </ul><ul>RFID transmission 30m-50m </ul><ul>Alimentation: Solar energy </ul><ul>Flood In development </ul><ul>Sited in the garden </ul><ul>Security zone (x) </ul><ul>Possible Solution: WAER </ul><ul>Preparedness (needs) </ul><ul>Emergency-Evacuation (needs) </ul><ul>x=v.t t=x/v </ul><ul>Solution planning </ul><ul>Hh </ul><ul>Hf </ul><ul>Hf-Hh= 30 to 50m </ul><ul>Data captures </ul>
    30. 30. GS RADJOU <ul>Raising Platform </ul><ul>House: elevation house </ul><ul>Mini-base for the drones </ul><ul>Elevation points </ul><ul>Assembly point </ul><ul>Refuge-shelter </ul><ul>Look-out point </ul><ul>Watch </ul><ul>Forecasts </ul><ul>Flood elevation </ul><ul>Flood </ul><ul>Indicator for alternative Aids: WAER, Water trucking </ul><ul>Local Flood detector </ul><ul>RFID </ul><ul>GPS Pole </ul><ul>Internet </ul><ul>GPS </ul><ul>Drone + Water purifier </ul><ul>computer Mobile phone USB key </ul><ul>Cloud technology </ul><ul>Optical Flux </ul><ul>Assembly Base </ul><ul>Surge rain </ul><ul>My answer: choice </ul><ul>The flood platform </ul>
    31. 31. <ul>Flood Indicator locations (Global architecture) </ul>GS RADJOU <ul>Along a road (combines with lamp post New version) </ul><ul>River bed Crossing a road </ul><ul>( New version 2 ) </ul><ul>X=Water elevation µ:time to travel in the water </ul><ul>Laser or doppler detection </ul><ul>Equation 2 2(d+x) = c[t+µ] </ul><ul>d : pole length t : time to travel in the air </ul><ul>Equation set 1 D-d= X T=2 (t+µ) </ul><ul>c (or v) : speed of light (or sound (doppler)) T : measure between two signals </ul><ul>(d,t) </ul><ul>Signals </ul><ul>1 </ul><ul>2 </ul><ul>T </ul><ul>Interface specifications </ul><ul>In-house Flood indicator </ul><ul>Outdoor flood detectors </ul><ul>(New version 1) </ul><ul>Colorimetry detection </ul><ul>(Computer reading in both cases) </ul><ul>Cable or RFID transmittance, Also sattelite detection with GPS </ul><ul>Flood </ul><ul>New versions Based on light waves: 1-the water colometry analysis (opto density: the water thickness) is an indicator of the water depth-elevation- in some cases. 2- Water elevation measures directly -telemetry- the water level </ul>
    32. 32. EWS MAPPING SYSTEM (PROJECT GEOLOCATION)
    33. 33. <ul>Community village protection: event scenario (Radar map view) </ul>GS RADJOU Flood front advancement <ul>70° </ul><ul>115° </ul><ul>Mount </ul><ul>Village zone </ul><ul>walls </ul><ul>Flood Detectors </ul><ul>100 km </ul><ul>80 km </ul><ul>60 km </ul><ul>40 km </ul><ul>20 km </ul><ul>90° </ul><ul>Flood station </ul><ul>a river </ul><ul>N </ul><ul>Flood frontline </ul><ul>80° </ul><ul>100° </ul><ul>Flood corridor (70°,115°) </ul>
    34. 34. <ul>River surveillance with the flood detectors -Potential flood corridors- </ul>GS RADJOU Hidden obstacles Corridor <ul>Mount </ul><ul>70° </ul><ul>Wall </ul><ul>115° </ul><ul>155° </ul><ul>42° </ul><ul>Elevation (H), speed (S) and time (T) H and d=ST </ul><ul>river </ul><ul>Flood detectors </ul><ul>Flood penetration inland (outside the river banks) </ul><ul>d :Distance range (GPS location) </ul><ul>Community village </ul><ul>100° </ul><ul>GPS location or RFID mapping </ul><ul>Database Computer treament </ul><ul>Speed And elevation </ul><ul>Water alternatives </ul><ul>Flood prone zone </ul>
    35. 35. <ul><li>Importance of a flood detector map </li></ul>GS RADJOU Flood front trip Travel distance Corridor Azimuth <ul>070° </ul><ul>Community Village (30,000 households) </ul><ul>080 </ul><ul>090 </ul><ul>100 </ul><ul>110 </ul><ul>120 </ul><ul>115 </ul><ul>110 </ul><ul>100 (km) </ul><ul>80 </ul><ul>60 </ul><ul>40 </ul><ul>20 </ul><ul>00 </ul><ul>32 </ul><ul>68 </ul><ul>Flood frontline </ul><ul>The flood detectors convey information on : -flood speed -flood elevation These knowledge give time for a solution: Water supply, evacuation, Other preparedness for Future risks </ul><ul>km </ul><ul>degree </ul><ul>Flood station </ul><ul>H00 -H20 = 20 km </ul><ul>N </ul><ul>To read the map </ul><ul>Corridor 070° – 115° </ul>
    36. 36. <ul><li>Flood risk drivers (a tool for assessment) (A sample of flood detection influences for forecasts with very reduced lead-times and very fast response) </li></ul>GS RADJOU <ul>Discharge (flood elevation) </ul><ul>Terrain slopes </ul><ul>House location </ul><ul>Presence of a detector </ul><ul>Time </ul><ul>Speed </ul><ul>Competitors: Increase lead-times Use of software modelling </ul><ul>1 </ul><ul>Zone A : Importance of Discharge (6), detector Location (6) and time (ease to solve a flood issue)– easy zone </ul><ul>Slopes (2) and house location (2) are minor Flood speed likely to be Medium (3) </ul><ul>Discharge : water elevation, strength Location : proximity to the water Time : influenced by the quality of the solution to flood …. </ul><ul>In this case it is risky: Flood risk and rupture of water supply, vital For livelyhood and properties </ul><ul>flood detector location, senior house with piloti or mitigation. Preparedness for emergency evacuation/water supply individual food ration/safety boat </ul><ul>Causes </ul><ul>Problems </ul><ul>Impacts </ul><ul>Zone:importance of slopes only </ul><ul>House on a mountain (6.5). It is not at risk-- if not the house is in a flood prone zone = likelihood of danger. For intance a house with a (1) indice </ul><ul>House highly perched on the top of a valley slope </ul><ul>2 </ul><ul>3 </ul><ul>4 </ul><ul>5 </ul><ul>6 </ul><ul>the driver indice For the event intensity </ul><ul>The driver type </ul><ul>6 </ul><ul>6 </ul><ul>5 </ul><ul>2 </ul><ul>2 </ul><ul>For instance: case Zone D </ul>
    37. 37. RFID ORGANIZATION BREAKDOWN STRUCTURE
    38. 38. <ul>Benefits brought by Virtualization </ul>GS RADJOU <ul>Lower expenses (physical assets reductions) </ul><ul>Business continuity (No redunancy or back-ups ratio 1:1 is avoided) </ul><ul>High availability (independence of virtual devices) </ul><ul>Fast Installation (Use of a software) </ul><ul>Corporate governance (Transparency rules for the central point=security) </ul><ul>(Source adaptation AT &T) </ul><ul>Hardwares </ul><ul>Hypervisor </ul><ul>Operating System </ul>
    39. 39. <ul>WBS New Technology (NT) RFID Grouping in the virtualization process at Integrated Flood Resource Managament Levels </ul>GS RADJOU <ul>RFID (A2) </ul><ul>RFIDs </ul><ul>Operating System </ul><ul>RFID (A1) </ul><ul>RFID (A3) </ul><ul>Configuration Management </ul><ul>Adaptation :Sample case of organisation with RFID Is in the RFID Journal: the Dolphin Stadium California State, people security </ul>
    40. 40. <ul>Sample of case study: RFID and security (Dolphin Stadium) Also, AIRBUS </ul>GS RADJOU <ul>-Wireless network able to support POS systems - RFID is competing with WI FI (less equipment) -Adventage of the stadium: possibility to run high bandwidth services: voice mail, data and video tansmisssion, interesting in outdoor transmission and specific environments <li>-illuminating of blackholes and reducing stocks by
    41. 41. 50% --
    42. 42. Ref.: Technology Provider/integrator: check points
    43. 43. systems, KooBra software; Location Pfaeffikon,
    44. 44. 8808, switzerland, Charle Vogele group, largest Clothes
    45. 45. retailer in Switerzeland-- </li></ul><ul>(Source internet: RFID Journal ) </ul>
    46. 46. <ul>WBS of New Technology (NT) – RFID network </ul>GS RADJOU <ul>Hypervisor </ul><ul>Hypervisor </ul><ul>Hypervisor </ul><ul>Operating System </ul><ul>RFID </ul><ul>RFID </ul><ul>RFID </ul><ul>Manufacture Levels: -Assembly bases -Water stations -Buoys -Flood detectors </ul><ul>IFM Level </ul><ul>RFID </ul><ul>RFID </ul>
    47. 47. <ul>3-Flood indicator for forecasts </ul>GS RADJOU <ul><li>1- Being an independant network does not mean absence of
    48. 48. collaborative approaches between networks and services.
    49. 49. 2- Flood and hydrology network would always needs the
    50. 50. weather forecast and an autonomous research actions.
    51. 51. 3- But a fine tuning of flood forecasting and disaster prevention
    52. 52. -in my view point- is only possible with appropriate technologies
    53. 53. based on RFIDs, sensors, household Its, wireless....
    54. 54. 4- This leads to less administrative work, favouring intermediate
    55. 55. technologies, decentralization, use of local materials and
    56. 56. assistance to complement existing system (WMO, IHO…(?))
    57. 57. 5- Last, is and improvment with non technology flood forecasting
    58. 58. Methods to reduce various uncertainty sources </li></ul>
    59. 59. SOURCE OF UNCERTAINTIES LIKE THE UNDERCOVERAGE OR DARK ZONES DUE TO ABSENCE OR OF FORECASTS OR ORGANIZATION RESPONSIVENESS DURING UNPREDICTED FLOOD ARE REMOVED BY THE FINE TUNING OF AN EARLY WARNING SYSTEM BASED ON THE SENSOR NETWORK AND HOUSEHOLD MANAGEMENT INFORMATION SYSTEM GS RADJOU
    60. 60. <ul>Risk project i.e. uncoverage zones (a) </ul>GS RADJOU <ul>They are placed in strategy points (see PBS for flood indicator for flood detector locations). It is very relevant in zones, I previously called ponds or dark zones (holes) where their is no predictions. </ul><ul>Dark holes (Swamps, Camargue,… remote places on earth uncovered) </ul><ul>? </ul><ul>Look out-points and flood Detectors in between the Forecast knowledge points </ul><ul>Uncertainty 1 (Horizontal uncertainty) </ul><ul>Horizontal line (subsurface) </ul>
    61. 61. PROJECT DEVELOPMENT
    62. 62. GS RADJOU FINANCIAL MECHANISM <ul>Pole Administration </ul><ul>Pole Emergency </ul><ul>Pole Preparedness Medium range </ul><ul>Flood Forecast development </ul><ul>Pole Preparedness Long Term </ul><ul>Financing Mechanism </ul><ul>National country </ul><ul>External </ul><ul>Goal </ul><ul>Broadband developement </ul><ul>RFID </ul><ul>Internet </ul><ul>Mergers </ul><ul>New capacity building </ul><ul>Old Capacity Cuilding </ul><ul>BTSA </ul><ul>Consulting group </ul><ul>Mandate </ul><ul><li>Banks &
    63. 63. customers </li></ul>
    64. 64. END

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